Abercrombie (ANF)

EarningsTranscriptsUpdated

As of Oct 23, 2026, Kalshi has settled 24 word markets on Abercrombie’s earnings calls since 2026, on 13 different words. Next call: Nov 24, 2026 (14 words listed).

Next: Earnings call ·

14 words listed · Occasion page

Who counts: Kalshi: company speakers + operator

Kalshi

Abercrombie: the words listed for Tue, Nov 24, how often each was said on past occasions, and the probability for this one
WordQ3’24Nov '24Q4’24Mar '25Q1’25May '25Q2’25Aug '25Q3’25year agoQ4’26Mar '26Q1’27May '26Q2’27last callTrendLast 8ScriptedAll-timeProbabilityMarket
Tariff2 times: Tariff, Q3’24 Nov '24, counts as said3 times: Tariff, Q4’24 Mar '25, counts as said10 times: Tariff, Q1’25 May '25, counts as said18 times: Tariff, Q2’25 Aug '25, counts as said17 times: Tariff, Q3’25 Nov '25, counts as said21 times: Tariff, Q4’26 Mar '26, counts as said21 times: Tariff, Q1’27 May '26, counts as said30 times: Tariff, Q2’27 Aug '26, counts as saidrising8/8100%7/888%14/7918%97%n=2+tx from settlement history blended with transcripts66¢ Kalshi
Consecutive7 times: Consecutive, Q3’24 Nov '24, counts as said5 times: Consecutive, Q4’24 Mar '25, counts as said1 time: Consecutive, Q1’25 May '25, counts as said2 times: Consecutive, Q2’25 Aug '25, counts as said4 times: Consecutive, Q3’25 Nov '25, counts as said9 times: Consecutive, Q4’26 Mar '26, counts as said7 times: Consecutive, Q1’27 May '26, counts as said4 times: Consecutive, Q2’27 Aug '26, counts as saidsteady8/8100%8/8100%35/7944%93%n=2+tx from settlement history blended with transcripts46¢ Kalshi
Headwind1 time: Headwind, Q3’24 Nov '24, counts as said2 times: Headwind, Q4’24 Mar '25, counts as said1 time: Headwind, Q1’25 May '25, counts as said4 times: Headwind, Q2’25 Aug '25, counts as said2 times: Headwind, Q3’25 Nov '25, counts as said8 times: Headwind, Q4’26 Mar '26, counts as said11 times: Headwind, Q1’27 May '26, counts as said1 time: Headwind, Q2’27 Aug '26, counts as saidrising8/8100%5/862%47/7959%93%n=2+tx from settlement history blended with transcripts46¢ Kalshi
AI / Artificial Intelligence0 times: AI / Artificial Intelligence, Q3’24 Nov '240 times: AI / Artificial Intelligence, Q4’24 Mar '250 times: AI / Artificial Intelligence, Q1’25 May '250 times: AI / Artificial Intelligence, Q2’25 Aug '254 times: AI / Artificial Intelligence, Q3’25 Nov '25, counts as said1 time: AI / Artificial Intelligence, Q4’26 Mar '26, counts as said6 times: AI / Artificial Intelligence, Q1’27 May '26, counts as said1 time: AI / Artificial Intelligence, Q2’27 Aug '26, counts as saidrising4/850%4/850%4/795%81%n=2+tx from settlement history blended with transcripts46¢ Kalshi
Closure1 time: Closure, Q3’24 Nov '24, counts as said2 times: Closure, Q4’24 Mar '25, counts as said4 times: Closure, Q1’25 May '25, counts as said2 times: Closure, Q2’25 Aug '25, counts as said1 time: Closure, Q3’25 Nov '25, counts as said1 time: Closure, Q4’26 Mar '26, counts as said1 time: Closure, Q1’27 May '26, counts as said1 time: Closure, Q2’27 Aug '26, counts as saidfalling8/8100%8/8100%60/7976%79%n=2+tx from settlement history blended with transcripts46¢ Kalshi
Target2 times: Target, Q3’24 Nov '24, counts as said4 times: Target, Q4’24 Mar '25, counts as said1 time: Target, Q1’25 May '25, counts as said2 times: Target, Q2’25 Aug '25, counts as said0 times: Target, Q3’25 Nov '252 times: Target, Q4’26 Mar '26, counts as said1 time: Target, Q1’27 May '26, counts as said6 times: Target, Q2’27 Aug '26, counts as saidrising7/888%7/888%61/7977%78%transcripts from the transcript model46¢ Kalshi
Baby / Toddler0 times: Baby / Toddler, Q3’24 Nov '240 times: Baby / Toddler, Q4’24 Mar '250 times: Baby / Toddler, Q1’25 May '250 times: Baby / Toddler, Q2’25 Aug '250 times: Baby / Toddler, Q3’25 Nov '254 times: Baby / Toddler, Q4’26 Mar '26, counts as said2 times: Baby / Toddler, Q1’27 May '26, counts as said2 times: Baby / Toddler, Q2’27 Aug '26, counts as saidrising3/838%3/838%4/795%74%n=2+tx from settlement history blended with transcripts46¢ Kalshi
NFL0 times: NFL, Q3’24 Nov '241 time: NFL, Q4’24 Mar '25, counts as said0 times: NFL, Q1’25 May '255 times: NFL, Q2’25 Aug '25, counts as said2 times: NFL, Q3’25 Nov '25, counts as said1 time: NFL, Q4’26 Mar '26, counts as said0 times: NFL, Q1’27 May '267 times: NFL, Q2’27 Aug '26, counts as saidrising5/862%5/862%7/799%71%n=2+tx from settlement history blended with transcripts46¢ Kalshi
International1 time: International, Q3’24 Nov '24, counts as said1 time: International, Q4’24 Mar '25, counts as said1 time: International, Q1’25 May '25, counts as said0 times: International, Q2’25 Aug '251 time: International, Q3’25 Nov '25, counts as said0 times: International, Q4’26 Mar '262 times: International, Q1’27 May '26, counts as said1 time: International, Q2’27 Aug '26, counts as saidsteady6/875%2/825%73/7992%63%n=2+tx from settlement history blended with transcripts46¢ Kalshi
Taco Bell0 times: Taco Bell, Q3’24 Nov '240 times: Taco Bell, Q4’24 Mar '250 times: Taco Bell, Q1’25 May '250 times: Taco Bell, Q2’25 Aug '254 times: Taco Bell, Q3’25 Nov '25, counts as said2 times: Taco Bell, Q4’26 Mar '26, counts as said0 times: Taco Bell, Q1’27 May '260 times: Taco Bell, Q2’27 Aug '26rising2/825%2/825%2/793%47%n=2+tx from settlement history blended with transcripts46¢ Kalshi
Sperry0 times: Sperry, Q3’24 Nov '240 times: Sperry, Q4’24 Mar '250 times: Sperry, Q1’25 May '250 times: Sperry, Q2’25 Aug '250 times: Sperry, Q3’25 Nov '250 times: Sperry, Q4’26 Mar '262 times: Sperry, Q1’27 May '26, counts as said0 times: Sperry, Q2’27 Aug '26rising1/812%1/812%1/791%39%n=1+tx from settlement history blended with transcripts46¢ Kalshi
Gigi Perez0 times: Gigi Perez, Q3’24 Nov '240 times: Gigi Perez, Q4’24 Mar '250 times: Gigi Perez, Q1’25 May '250 times: Gigi Perez, Q2’25 Aug '250 times: Gigi Perez, Q3’25 Nov '250 times: Gigi Perez, Q4’26 Mar '261 time: Gigi Perez, Q1’27 May '26, counts as said0 times: Gigi Perez, Q2’27 Aug '26steady1/812%1/812%1/791%33%n=1+tx from settlement history blended with transcripts46¢ Kalshi
Luxury0 times: Luxury, Q3’24 Nov '240 times: Luxury, Q4’24 Mar '250 times: Luxury, Q1’25 May '250 times: Luxury, Q2’25 Aug '251 time: Luxury, Q3’25 Nov '25, counts as said0 times: Luxury, Q4’26 Mar '260 times: Luxury, Q1’27 May '260 times: Luxury, Q2’27 Aug '26steady1/812%1/812%5/796%20%n=2+tx from settlement history blended with transcripts46¢ Kalshi
Vintage / Archive0 times: Vintage / Archive, Q3’24 Nov '240 times: Vintage / Archive, Q4’24 Mar '250 times: Vintage / Archive, Q1’25 May '250 times: Vintage / Archive, Q2’25 Aug '250 times: Vintage / Archive, Q3’25 Nov '250 times: Vintage / Archive, Q4’26 Mar '260 times: Vintage / Archive, Q1’27 May '260 times: Vintage / Archive, Q2’27 Aug '26steady0/80%0/80%3/794%12%n=2+tx from settlement history blended with transcripts46¢ Kalshi
  • times said on that call
  • counted as said (ring)
  • no call
  • probability next time, with n
  • Select a word or a cell for its quotes
What the columns mean
Last N
of the appearances shown, how many counted as said
Trend
how the count moved over these calls
Scripted
calls of the last 8 where it was said in the prepared remarks
All-time
every call on file
Probability
the calibrated probability for the next listing; n is the settled observations behind it when it was computed, '+tx' adds the transcripts, 'new' means too little history

Market prices are mid quotes from Kalshi and Polymarket, shown for context, may be delayed by several minutes and are not a signal. Quotes as of Oct 23, 2026 00:06 UTC.

Appearances and settled record

latest 12

Our transcript counts matched how 24 of 24 settled words resolved (100.0%). How we check.

Citeparrot.markets, “Abercrombie (ANF): earnings call word history”, as of Oct 23, 2026, https://parrot.markets/earnings/ANF (CC BY 4.0)

Agents: this page as TSV at /api/v1/entity/abercrombie · words: /api/v1/history?entity=abercrombie · columnar JSON in #parrot-data · llms.txt · MCP